Hongyang Zhang, Junru Shao, Ruslan Salakhutdinov. Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex. In Kamalika Chaudhuri, Masashi Sugiyama, editors, The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan. Volume 89 of Proceedings of Machine Learning Research, pages 1099-1109, PMLR, 2019. [doi]
@inproceedings{ZhangSS19-0,
title = {Deep Neural Networks with Multi-Branch Architectures Are Intrinsically Less Non-Convex},
author = {Hongyang Zhang and Junru Shao and Ruslan Salakhutdinov},
year = {2019},
url = {http://proceedings.mlr.press/v89/zhang19d.html},
researchr = {https://researchr.org/publication/ZhangSS19-0},
cites = {0},
citedby = {0},
pages = {1099-1109},
booktitle = {The 22nd International Conference on Artificial Intelligence and Statistics, AISTATS 2019, 16-18 April 2019, Naha, Okinawa, Japan},
editor = {Kamalika Chaudhuri and Masashi Sugiyama},
volume = {89},
series = {Proceedings of Machine Learning Research},
publisher = {PMLR},
}